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http://dx.doi.org/10.17662/ksdim.2014.10.3.001

A Comparative Study of Software finite Fault NHPP Model Considering Inverse Rayleigh and Rayleigh Distribution Property  

Shin, Hyun Cheul (백석문화대학교 인터넷 정보학부)
Kim, Hee Cheul (남서울대학교 산업경영공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.10, no.3, 2014 , pp. 1-9 More about this Journal
Abstract
The inverse Rayleigh model distribution and Rayleigh distribution model were widely used in the field of reliability station. In this paper applied using the finite failure NHPP models in order to growth model. In other words, a large change in the course of the software is modified, and the occurrence of defects is almost inevitable reality. Finite failure NHPP software reliability models can have, in the literature, exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, proposes the inverse Rayleigh and Rayleigh software reliability growth model, which made out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on mean square error (MSE) and coefficient of determination($R^2$), for the sake of efficient model, were employed. In order to insurance for the reliability of data, Laplace trend test was employed. In many aspects, Rayleigh distribution model is more efficient than the reverse-Rayleigh distribution model was proved. From this paper, software developers have to consider the growth model by prior knowledge of the software to identify failure modes which can helped.
Keywords
Intensity Function; Inverse Rayleigh Distribution; Mission Time; NHPP; Laplace Trend Test;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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